Cover Image

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pellano, Kimji N., Strümke, Inga, Groos, Daniel, Adde, Lars, Ihlen, Espen Alexander F.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations
by: Pellano, Kimji N., et al.
Published: (2025)

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
by: Pellano, Kimji N., et al.
Published: (2024)

Lightweight Neural Architecture Search for Cerebral Palsy Detection
by: Tempel, Felix, et al.
Published: (2024)

Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures
by: Tempel, Felix, et al.
Published: (2024)

Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition
by: Tempel, Felix, et al.
Published: (2024)

AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search
by: Tempel, Felix, et al.
Published: (2024)

What Does Explainable AI Mean in Practice? Evaluative Requirements from a Longitudinal Clinical Case Study
by: Sporsem, Tor, et al.
Published: (2025)

A Hybrid Machine Learning Model for Cerebral Palsy Detection
by: Singh, Karan Kumar, et al.
Published: (2026)

Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
by: Tsigos, Konstantinos, et al.
Published: (2024)

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
by: Klein, Lukas, et al.
Published: (2024)

ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
by: Nguyen, Loc Phuc Truong, et al.
Published: (2025)

Exploring a Multimodal Fusion-based Deep Learning Network for Detecting Facial Palsy
by: Oo, Heng Yim Nicole, et al.
Published: (2024)

Explainable AI for Diabetic Retinopathy Detection Using Deep Learning with Attention Mechanisms and Fuzzy Logic-Based Interpretability
by: Karthik, Abishek, et al.
Published: (2025)

Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)

Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
by: Hossain, Md. Zahid, et al.
Published: (2025)

Explainable AI in Handwriting Detection for Dyslexia Using Transfer Learning
by: Robaa, Mahmoud, et al.
Published: (2024)

An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection
by: Patel, Neel, et al.
Published: (2025)

Performance Evaluation of Deep Learning-based Quadrotor UAV Detection and Tracking Methods
by: Elshaar, Mohssen E., et al.
Published: (2024)

A Deep Learning Approach for Automated Skin Lesion Diagnosis with Explainable AI
by: Haque, Md. Maksudul, et al.
Published: (2026)

Melanoma Classification Through Deep Ensemble Learning and Explainable AI
by: Perera, Wadduwage Shanika, et al.
Published: (2025)

Advancements in Crop Analysis through Deep Learning and Explainable AI
by: Khan, Hamza
Published: (2025)

The Weighting Game: Evaluating Quality of Explainability Methods
by: Raatikainen, Lassi, et al.
Published: (2022)

Deep Learning Approach for Ear Recognition and Longitudinal Evaluation in Children
by: Hossain, Afzal, et al.
Published: (2024)

A Meaningful Perturbation Metric for Evaluating Explainability Methods
by: Cohen, Danielle, et al.
Published: (2025)

Explainability of Deep Neural Networks for Brain Tumor Detection
by: Park, S., et al.
Published: (2024)

Explainable Deep Convolutional Multi-Type Anomaly Detection
by: George, Alex, et al.
Published: (2025)

Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
by: Erukude, Sai Teja, et al.
Published: (2025)

Enhancing Skin Disease Classification Leveraging Transformer-based Deep Learning Architectures and Explainable AI
by: Mohan, Jayanth, et al.
Published: (2024)

Explainable AI-Generated Image Detection RewardBench
by: Yang, Michael, et al.
Published: (2025)

Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2025)

Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis
by: Kanamugire, Olivier, et al.
Published: (2026)

A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation
by: Hammoud, Reem, et al.
Published: (2025)

Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
by: Khadidos, Adil O., et al.
Published: (2026)

Improving Object Detection by Modifying Synthetic Data with Explainable AI
by: Mital, Nitish, et al.
Published: (2024)

A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection
by: Oo, Heng Yim Nicole, et al.
Published: (2025)

Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
by: Sarker, Shuvashis, et al.
Published: (2025)

Deep Learning for Robust and Explainable Models in Computer Vision
by: Amirian, Mohammadreza
Published: (2024)

Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach
by: Maqsood, Hasaan, et al.
Published: (2026)

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI
by: Eity, Sumshun Nahar, et al.
Published: (2025)

A Hybrid Deep Learning Framework with Explainable AI for Lung Cancer Classification with DenseNet169 and SVM
by: Islam, Md Rashidul, et al.
Published: (2025)